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Molan, Martin
43  Ergebnisse:
Personensuche X
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1

ExaQuery: Proving Data Structure to Unstructured Telemetry ..:

, In: Companion of the 15th ACM/SPEC International Conference on Performance Engineering,
Khan, Junaid Ahmed ; Molan, Martin ; Angelinelli, Matteo. - p. 127-134 , 2024
Link: https://dl.acm.org/doi/1..
 
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2

AutoGrAN: Autonomous Vehicle LiDAR Contaminant Detection us..:

, In: Companion of the 15th ACM/SPEC International Conference on Performance Engineering,
Jati, Grafika ; Molan, Martin ; Khan, Junaid Ahmed... - p. 112-119 , 2024
Link: https://dl.acm.org/doi/1..
 
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3

Exploring the Utility of Graph Methods in HPC Thermal Model..:

, In: Companion of the 15th ACM/SPEC International Conference on Performance Engineering,
Guindani, Bruno ; Molan, Martin ; Bartolini, Andrea. - p. 106-111 , 2024
Link: https://dl.acm.org/doi/1..
 
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4

GRAAFE: GRaph anomaly anticipation framework for exascale H..:

Molan, Martin ; Ardebili, Mohsen Seyedkazemi ; Khan, Junaid Ahmed...
Future Generation Computer Systems.  , 2024
Link: https://doi.org/10.1016/..
 
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5

Machine Learning Methodologies to Support HPC Systems Opera..:

, In: Euro-Par 2022: Parallel Processing Workshops; Lecture Notes in Computer Science,
Molan, Martin ; Borghesi, Andrea ; Benini, Luca. - p. 294-298 , 2023
Link: https://doi.org/10.1007/..
 
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6

RUAD: Unsupervised anomaly detection in HPC systems:

Molan, Martin ; Borghesi, Andrea ; Cesarini, Daniele..
Future Generation Computer Systems.  141 (2023)  - p. 542-554 , 2023
Link: https://doi.org/10.1016/..
 
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7

Model for Quantitative Estimation of Functionality Influenc..:

Molan, Gregor ; Dolinar, Gregor ; Bojkovski, Jovan...
IEEE Access.  11 (2023)  - p. 115599-115616 , 2023
Link: https://doi.org/10.1109/..
 
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8

M100 ExaData: a data collection campaign on the CINECA's Ma..:

Borghesi, Andrea ; Di Santi, Carmine ; Molan, Martin...
Scientific Data.  10 (2023)  1 - p. , 2023
Link: https://doi.org/10.1038/..
 
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9

The Graph-Massivizer Approach Toward a European Sustainable..:

, In: 2023 IEEE 47th Annual Computers, Software, and Applications Conference (COMPSAC),
Molan, Martin ; Khan, Junaid Ahmed ; Bartolini, Andrea... - p. 1459-1464 , 2023
Link: https://doi.org/10.1109/..
 
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10

Graph Neural Networks for Anomaly Anticipation in HPC Syste..:

, In: Companion of the 2023 ACM/SPEC International Conference on Performance Engineering,
Molan, Martin ; Ahmed Khan, Junaid ; Borghesi, Andrea. - p. 239-244 , 2023
Link: https://dl.acm.org/doi/1..
 
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11

Semi-supervised anomaly detection on a Tier-0 HPC system:

, In: Proceedings of the 19th ACM International Conference on Computing Frontiers,
Molan, Martin ; Borghesi, Andrea ; Benini, Luca. - p. 203-204 , 2022
Link: https://dl.acm.org/doi/1..
 
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12

Analysing Supercomputer Nodes Behaviour with the Latent Rep..:

, In: Euro-Par 2022: Parallel Processing; Lecture Notes in Computer Science,
Molan, Martin ; Borghesi, Andrea ; Benini, Luca. - p. 171-185 , 2022
Link: https://doi.org/10.1007/..
 
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13

Anomaly Detection and Anticipation in High Performance Comp..:

Borghesi, Andrea ; Molan, Martin ; Milano, Michela.
IEEE Transactions on Parallel and Distributed Systems.  33 (2022)  4 - p. 739-750 , 2022
Link: https://doi.org/10.1109/..
 
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14

Correction to: An Explainable Model for Fault Detection in ..:

, In: Lecture Notes in Computer Science; High Performance Computing,
Molan, Martin ; Borghesi, Andrea ; Beneventi, Francesco.. - p. C1-C1 , 2021
Link: https://doi.org/10.1007/..
 
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15

An Explainable Model for Fault Detection in HPC Systems:

, In: Lecture Notes in Computer Science; High Performance Computing,
Molan, Martin ; Borghesi, Andrea ; Beneventi, Francesco.. - p. 378-391 , 2021
Link: https://doi.org/10.1007/..
 
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